Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
-license: creativeml-openrail-m
-duplicated_from: stabilityai/stable-diffusion-xl-base-1.0
+license: openrail++
+tags:
+- text-to-image
+- stable-diffusion
 ---
 # SD-XL 1.0-base Model Card
 ![row01](01.png)
@@ -61,7 +63,7 @@ You can use the model then as follows
 from diffusers import DiffusionPipeline
 import torch
 
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
 pipe.to("cuda")
 
 # if using torch < 2.0
@@ -115,5 +117,4 @@ The model was not trained to be factual or true representations of people or eve
 - The autoencoding part of the model is lossy.
 
 ### Bias
-While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
-
+While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.